Statistics on Shape Data: Correcting an Asymptotic Bias in Template Shape Estimation

Statistics on Shape Data: Correcting an Asymptotic Bias in Template Shape Estimation

Neyman Seminar
Feb 20, 2019, 04:00 PM - 05:00 PM | 1011 Evans Hall | Happening As Scheduled
Nina Miolane, Stanford University
Computational Anatomy aims to model and analyze healthy and pathological distributions of organ shapes. We are interested in the computational representation of the brain anatomy using brain MRIs (Magnetic Resonance Imaging). How can we define the notion of brain shapes and how can we learn their distribution in the population? Landmarks’ shapes, curve shapes or surface shapes can be seen as the...